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<p>Super class of all kernelized (non-linear) SVM trainers.  
 <a href="classshark_1_1_abstract_svm_trainer.html#details">More...</a></p>

<p><code>#include &lt;<a class="el" href="_abstract_svm_trainer_8h_source.html">shark/Algorithms/Trainers/AbstractSvmTrainer.h</a>&gt;</code></p>
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  <img id="dynsection-0-trigger" src="closed.png" alt="+"/> Inheritance diagram for shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;:</div>
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<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-types" name="pub-types"></a>
Public Types</h2></td></tr>
<tr class="memitem:acb7bddb6bc49cb6162708ad18d5f2ea3" id="r_acb7bddb6bc49cb6162708ad18d5f2ea3"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="classshark_1_1_abstract_kernel_function.html">AbstractKernelFunction</a>&lt; <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#acb7bddb6bc49cb6162708ad18d5f2ea3">KernelType</a></td></tr>
<tr class="separator:acb7bddb6bc49cb6162708ad18d5f2ea3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_types_classshark_1_1_abstract_trainer"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classshark_1_1_abstract_trainer')"><img src="closed.png" alt="-"/>&#160;Public Types inherited from <a class="el" href="classshark_1_1_abstract_trainer.html">shark::AbstractTrainer&lt; Model, LabelTypeT &gt;</a></td></tr>
<tr class="memitem:a0d5c9d35b614d6a33e4e8bfeaf1e9298 inherit pub_types_classshark_1_1_abstract_trainer" id="r_a0d5c9d35b614d6a33e4e8bfeaf1e9298"><td class="memItemLeft" align="right" valign="top">typedef Model&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_trainer.html#a0d5c9d35b614d6a33e4e8bfeaf1e9298">ModelType</a></td></tr>
<tr class="separator:a0d5c9d35b614d6a33e4e8bfeaf1e9298 inherit pub_types_classshark_1_1_abstract_trainer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0cfa7cdd27b8bb162e64188095f8fa71 inherit pub_types_classshark_1_1_abstract_trainer" id="r_a0cfa7cdd27b8bb162e64188095f8fa71"><td class="memItemLeft" align="right" valign="top">typedef ModelType::InputType&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a></td></tr>
<tr class="separator:a0cfa7cdd27b8bb162e64188095f8fa71 inherit pub_types_classshark_1_1_abstract_trainer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa4e344106831fb8227c2120681588ea9 inherit pub_types_classshark_1_1_abstract_trainer" id="r_aa4e344106831fb8227c2120681588ea9"><td class="memItemLeft" align="right" valign="top">typedef LabelTypeT&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a></td></tr>
<tr class="separator:aa4e344106831fb8227c2120681588ea9 inherit pub_types_classshark_1_1_abstract_trainer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa4730fe9d59622d35d95cd4233f8d7af inherit pub_types_classshark_1_1_abstract_trainer" id="r_aa4730fe9d59622d35d95cd4233f8d7af"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="classshark_1_1_labeled_data.html">LabeledData</a>&lt; <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>, <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_trainer.html#aa4730fe9d59622d35d95cd4233f8d7af">DatasetType</a></td></tr>
<tr class="separator:aa4730fe9d59622d35d95cd4233f8d7af inherit pub_types_classshark_1_1_abstract_trainer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_types_classshark_1_1_i_parameterizable"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classshark_1_1_i_parameterizable')"><img src="closed.png" alt="-"/>&#160;Public Types inherited from <a class="el" href="classshark_1_1_i_parameterizable.html">shark::IParameterizable&lt; VectorType &gt;</a></td></tr>
<tr class="memitem:a2ad5e2e60b2b352988b41f46024d790b inherit pub_types_classshark_1_1_i_parameterizable" id="r_a2ad5e2e60b2b352988b41f46024d790b"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_parameterizable.html#a2ad5e2e60b2b352988b41f46024d790b">ParameterVectorType</a></td></tr>
<tr class="separator:a2ad5e2e60b2b352988b41f46024d790b inherit pub_types_classshark_1_1_i_parameterizable"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:aab27c6424184668af4f785f525ca3a84" id="r_aab27c6424184668af4f785f525ca3a84"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#aab27c6424184668af4f785f525ca3a84">AbstractSvmTrainer</a> (<a class="el" href="classshark_1_1_abstract_svm_trainer.html#acb7bddb6bc49cb6162708ad18d5f2ea3">KernelType</a> *<a class="el" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">kernel</a>, double <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a7bc3baa63458c785155a231ca73ea483">C</a>, bool offset, bool unconstrained=false)</td></tr>
<tr class="separator:aab27c6424184668af4f785f525ca3a84"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5ac083639404d8d334e38d45f777e0af" id="r_a5ac083639404d8d334e38d45f777e0af"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#a5ac083639404d8d334e38d45f777e0af">AbstractSvmTrainer</a> (<a class="el" href="classshark_1_1_abstract_svm_trainer.html#acb7bddb6bc49cb6162708ad18d5f2ea3">KernelType</a> *<a class="el" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">kernel</a>, double negativeC, double positiveC, bool offset, bool unconstrained=false)</td></tr>
<tr class="separator:a5ac083639404d8d334e38d45f777e0af"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7bc3baa63458c785155a231ca73ea483" id="r_a7bc3baa63458c785155a231ca73ea483"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#a7bc3baa63458c785155a231ca73ea483">C</a> () const</td></tr>
<tr class="memdesc:a7bc3baa63458c785155a231ca73ea483"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return the value of the regularization parameter C.  <br /></td></tr>
<tr class="separator:a7bc3baa63458c785155a231ca73ea483"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a63d60b7731298e655952bbf42d1ce2d8" id="r_a63d60b7731298e655952bbf42d1ce2d8"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#a63d60b7731298e655952bbf42d1ce2d8">setC</a> (double <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a7bc3baa63458c785155a231ca73ea483">C</a>)</td></tr>
<tr class="memdesc:a63d60b7731298e655952bbf42d1ce2d8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the value of the regularization parameter C.  <br /></td></tr>
<tr class="separator:a63d60b7731298e655952bbf42d1ce2d8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad06550eb45e46ff02e4789ea1b916c75" id="r_ad06550eb45e46ff02e4789ea1b916c75"><td class="memItemLeft" align="right" valign="top">RealVector const &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#ad06550eb45e46ff02e4789ea1b916c75">regularizationParameters</a> () const</td></tr>
<tr class="separator:ad06550eb45e46ff02e4789ea1b916c75"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad3ff1a54a5eb915e631e70e26e8727ce" id="r_ad3ff1a54a5eb915e631e70e26e8727ce"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#ad3ff1a54a5eb915e631e70e26e8727ce">setRegularizationParameters</a> (RealVector const &amp;regularizers)</td></tr>
<tr class="memdesc:ad3ff1a54a5eb915e631e70e26e8727ce"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the value of the regularization parameter C.  <br /></td></tr>
<tr class="separator:ad3ff1a54a5eb915e631e70e26e8727ce"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a084595212c691b938fe6d421f40a908b" id="r_a084595212c691b938fe6d421f40a908b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#acb7bddb6bc49cb6162708ad18d5f2ea3">KernelType</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">kernel</a> ()</td></tr>
<tr class="separator:a084595212c691b938fe6d421f40a908b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6342c2fd51de7927c41090c8644c29f8" id="r_a6342c2fd51de7927c41090c8644c29f8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#acb7bddb6bc49cb6162708ad18d5f2ea3">KernelType</a> const *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#a6342c2fd51de7927c41090c8644c29f8">kernel</a> () const</td></tr>
<tr class="separator:a6342c2fd51de7927c41090c8644c29f8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4ff39ade04048830ec052be74d185a39" id="r_a4ff39ade04048830ec052be74d185a39"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#a4ff39ade04048830ec052be74d185a39">setKernel</a> (<a class="el" href="classshark_1_1_abstract_svm_trainer.html#acb7bddb6bc49cb6162708ad18d5f2ea3">KernelType</a> *<a class="el" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">kernel</a>)</td></tr>
<tr class="separator:a4ff39ade04048830ec052be74d185a39"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a787df0ebf0c01da4f3e900e0f3ad109a" id="r_a787df0ebf0c01da4f3e900e0f3ad109a"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#a787df0ebf0c01da4f3e900e0f3ad109a">isUnconstrained</a> () const</td></tr>
<tr class="separator:a787df0ebf0c01da4f3e900e0f3ad109a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae0c02e31cdae3482f37155eb788eb979" id="r_ae0c02e31cdae3482f37155eb788eb979"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#ae0c02e31cdae3482f37155eb788eb979">trainOffset</a> () const</td></tr>
<tr class="separator:ae0c02e31cdae3482f37155eb788eb979"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a954cc587b52b4ec5a347134804dfc812" id="r_a954cc587b52b4ec5a347134804dfc812"><td class="memItemLeft" align="right" valign="top">std::size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#a954cc587b52b4ec5a347134804dfc812">cacheSize</a> () const</td></tr>
<tr class="separator:a954cc587b52b4ec5a347134804dfc812"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aee037566828dae85ee2e117e71121edd" id="r_aee037566828dae85ee2e117e71121edd"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#aee037566828dae85ee2e117e71121edd">setCacheSize</a> (std::size_t size)</td></tr>
<tr class="separator:aee037566828dae85ee2e117e71121edd"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a183757faebfc331f6733946a6ea7de2c" id="r_a183757faebfc331f6733946a6ea7de2c"><td class="memItemLeft" align="right" valign="top">RealVector&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#a183757faebfc331f6733946a6ea7de2c">parameterVector</a> () const</td></tr>
<tr class="memdesc:a183757faebfc331f6733946a6ea7de2c"><td class="mdescLeft">&#160;</td><td class="mdescRight">get the hyper-parameter vector  <br /></td></tr>
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<tr class="memitem:aecde2bab6daf3fa44b94438c7ba79a24" id="r_aecde2bab6daf3fa44b94438c7ba79a24"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#aecde2bab6daf3fa44b94438c7ba79a24">setParameterVector</a> (RealVector const &amp;newParameters)</td></tr>
<tr class="memdesc:aecde2bab6daf3fa44b94438c7ba79a24"><td class="mdescLeft">&#160;</td><td class="mdescRight">set the vector of hyper-parameters  <br /></td></tr>
<tr class="separator:aecde2bab6daf3fa44b94438c7ba79a24"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab4f0632a6c463dca0103a38a6305c38c" id="r_ab4f0632a6c463dca0103a38a6305c38c"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#ab4f0632a6c463dca0103a38a6305c38c">numberOfParameters</a> () const</td></tr>
<tr class="memdesc:ab4f0632a6c463dca0103a38a6305c38c"><td class="mdescLeft">&#160;</td><td class="mdescRight">return the number of hyper-parameters  <br /></td></tr>
<tr class="separator:ab4f0632a6c463dca0103a38a6305c38c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classshark_1_1_abstract_trainer"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classshark_1_1_abstract_trainer')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classshark_1_1_abstract_trainer.html">shark::AbstractTrainer&lt; Model, LabelTypeT &gt;</a></td></tr>
<tr class="memitem:a71d3fd2567473d746ecb733d7fa28c7e inherit pub_methods_classshark_1_1_abstract_trainer" id="r_a71d3fd2567473d746ecb733d7fa28c7e"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_trainer.html#a71d3fd2567473d746ecb733d7fa28c7e">train</a> (<a class="el" href="classshark_1_1_abstract_trainer.html#a0d5c9d35b614d6a33e4e8bfeaf1e9298">ModelType</a> &amp;model, <a class="el" href="classshark_1_1_abstract_trainer.html#aa4730fe9d59622d35d95cd4233f8d7af">DatasetType</a> const &amp;dataset)=0</td></tr>
<tr class="memdesc:a71d3fd2567473d746ecb733d7fa28c7e inherit pub_methods_classshark_1_1_abstract_trainer"><td class="mdescLeft">&#160;</td><td class="mdescRight">Core of the Trainer interface.  <br /></td></tr>
<tr class="separator:a71d3fd2567473d746ecb733d7fa28c7e inherit pub_methods_classshark_1_1_abstract_trainer"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classshark_1_1_i_nameable"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classshark_1_1_i_nameable')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classshark_1_1_i_nameable.html">shark::INameable</a></td></tr>
<tr class="memitem:a877dbdfc6b58ea836495143cea44a98c inherit pub_methods_classshark_1_1_i_nameable" id="r_a877dbdfc6b58ea836495143cea44a98c"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_nameable.html#a877dbdfc6b58ea836495143cea44a98c">~INameable</a> ()</td></tr>
<tr class="separator:a877dbdfc6b58ea836495143cea44a98c inherit pub_methods_classshark_1_1_i_nameable"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9893f99314de30cd472e649c235d0db4 inherit pub_methods_classshark_1_1_i_nameable" id="r_a9893f99314de30cd472e649c235d0db4"><td class="memItemLeft" align="right" valign="top">virtual std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_nameable.html#a9893f99314de30cd472e649c235d0db4">name</a> () const</td></tr>
<tr class="memdesc:a9893f99314de30cd472e649c235d0db4 inherit pub_methods_classshark_1_1_i_nameable"><td class="mdescLeft">&#160;</td><td class="mdescRight">returns the name of the object  <br /></td></tr>
<tr class="separator:a9893f99314de30cd472e649c235d0db4 inherit pub_methods_classshark_1_1_i_nameable"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classshark_1_1_i_serializable"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classshark_1_1_i_serializable')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classshark_1_1_i_serializable.html">shark::ISerializable</a></td></tr>
<tr class="memitem:a7baa9ce108d7278822297ce15882782a inherit pub_methods_classshark_1_1_i_serializable" id="r_a7baa9ce108d7278822297ce15882782a"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_serializable.html#a7baa9ce108d7278822297ce15882782a">~ISerializable</a> ()</td></tr>
<tr class="memdesc:a7baa9ce108d7278822297ce15882782a inherit pub_methods_classshark_1_1_i_serializable"><td class="mdescLeft">&#160;</td><td class="mdescRight">Virtual d'tor.  <br /></td></tr>
<tr class="separator:a7baa9ce108d7278822297ce15882782a inherit pub_methods_classshark_1_1_i_serializable"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad4ad9a7c274deff642f91e98417fbc63 inherit pub_methods_classshark_1_1_i_serializable" id="r_ad4ad9a7c274deff642f91e98417fbc63"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_serializable.html#ad4ad9a7c274deff642f91e98417fbc63">read</a> (<a class="el" href="namespaceshark.html#ada68729491840669e47c8ad42282424f">InArchive</a> &amp;archive)</td></tr>
<tr class="memdesc:ad4ad9a7c274deff642f91e98417fbc63 inherit pub_methods_classshark_1_1_i_serializable"><td class="mdescLeft">&#160;</td><td class="mdescRight">Read the component from the supplied archive.  <br /></td></tr>
<tr class="separator:ad4ad9a7c274deff642f91e98417fbc63 inherit pub_methods_classshark_1_1_i_serializable"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9bddedd42933c922e323b73131f62f12 inherit pub_methods_classshark_1_1_i_serializable" id="r_a9bddedd42933c922e323b73131f62f12"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_serializable.html#a9bddedd42933c922e323b73131f62f12">write</a> (<a class="el" href="namespaceshark.html#af4f8eb8e9618f5236b71bbcb12b8a524">OutArchive</a> &amp;archive) const</td></tr>
<tr class="memdesc:a9bddedd42933c922e323b73131f62f12 inherit pub_methods_classshark_1_1_i_serializable"><td class="mdescLeft">&#160;</td><td class="mdescRight">Write the component to the supplied archive.  <br /></td></tr>
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<tr class="memitem:abdda0c5b8e065b8afbac2cba8f58e841 inherit pub_methods_classshark_1_1_i_serializable" id="r_abdda0c5b8e065b8afbac2cba8f58e841"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_serializable.html#abdda0c5b8e065b8afbac2cba8f58e841">load</a> (<a class="el" href="namespaceshark.html#ada68729491840669e47c8ad42282424f">InArchive</a> &amp;archive, unsigned int version)</td></tr>
<tr class="memdesc:abdda0c5b8e065b8afbac2cba8f58e841 inherit pub_methods_classshark_1_1_i_serializable"><td class="mdescLeft">&#160;</td><td class="mdescRight">Versioned loading of components, calls read(...).  <br /></td></tr>
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<tr class="memitem:a5bf66fa8db15cc529bec98976a2f5255 inherit pub_methods_classshark_1_1_i_serializable" id="r_a5bf66fa8db15cc529bec98976a2f5255"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_serializable.html#a5bf66fa8db15cc529bec98976a2f5255">save</a> (<a class="el" href="namespaceshark.html#af4f8eb8e9618f5236b71bbcb12b8a524">OutArchive</a> &amp;archive, unsigned int version) const</td></tr>
<tr class="memdesc:a5bf66fa8db15cc529bec98976a2f5255 inherit pub_methods_classshark_1_1_i_serializable"><td class="mdescLeft">&#160;</td><td class="mdescRight">Versioned storing of components, calls write(...).  <br /></td></tr>
<tr class="separator:a5bf66fa8db15cc529bec98976a2f5255 inherit pub_methods_classshark_1_1_i_serializable"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4560a94e8f4908fe8627e41e7d965735 inherit pub_methods_classshark_1_1_i_serializable" id="r_a4560a94e8f4908fe8627e41e7d965735"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_serializable.html#a4560a94e8f4908fe8627e41e7d965735">BOOST_SERIALIZATION_SPLIT_MEMBER</a> ()</td></tr>
<tr class="separator:a4560a94e8f4908fe8627e41e7d965735 inherit pub_methods_classshark_1_1_i_serializable"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classshark_1_1_qp_config"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classshark_1_1_qp_config')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classshark_1_1_qp_config.html">shark::QpConfig</a></td></tr>
<tr class="memitem:afca82d9f41e7ca9dc16f958571143ea4 inherit pub_methods_classshark_1_1_qp_config" id="r_afca82d9f41e7ca9dc16f958571143ea4"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#afca82d9f41e7ca9dc16f958571143ea4">QpConfig</a> (bool precomputedFlag=false, bool sparsifyFlag=true)</td></tr>
<tr class="memdesc:afca82d9f41e7ca9dc16f958571143ea4 inherit pub_methods_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <br /></td></tr>
<tr class="separator:afca82d9f41e7ca9dc16f958571143ea4 inherit pub_methods_classshark_1_1_qp_config"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a66fa342063f4fb0c8686a821dd14370e inherit pub_methods_classshark_1_1_qp_config" id="r_a66fa342063f4fb0c8686a821dd14370e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structshark_1_1_qp_stopping_condition.html">QpStoppingCondition</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a66fa342063f4fb0c8686a821dd14370e">stoppingCondition</a> ()</td></tr>
<tr class="memdesc:a66fa342063f4fb0c8686a821dd14370e inherit pub_methods_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">Read/write access to the stopping condition.  <br /></td></tr>
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<tr class="memitem:aa26b91d3c5f8907fdf977e3dafedc9a7 inherit pub_methods_classshark_1_1_qp_config" id="r_aa26b91d3c5f8907fdf977e3dafedc9a7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structshark_1_1_qp_stopping_condition.html">QpStoppingCondition</a> const &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#aa26b91d3c5f8907fdf977e3dafedc9a7">stoppingCondition</a> () const</td></tr>
<tr class="memdesc:aa26b91d3c5f8907fdf977e3dafedc9a7 inherit pub_methods_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">Read access to the stopping condition.  <br /></td></tr>
<tr class="separator:aa26b91d3c5f8907fdf977e3dafedc9a7 inherit pub_methods_classshark_1_1_qp_config"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0ea8552b2732cbfe664b7d0706c46d80 inherit pub_methods_classshark_1_1_qp_config" id="r_a0ea8552b2732cbfe664b7d0706c46d80"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structshark_1_1_qp_solution_properties.html">QpSolutionProperties</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a0ea8552b2732cbfe664b7d0706c46d80">solutionProperties</a> ()</td></tr>
<tr class="memdesc:a0ea8552b2732cbfe664b7d0706c46d80 inherit pub_methods_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">Access to the solution properties.  <br /></td></tr>
<tr class="separator:a0ea8552b2732cbfe664b7d0706c46d80 inherit pub_methods_classshark_1_1_qp_config"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae90c5c93fc02fad6fc07ca6b04fc78cc inherit pub_methods_classshark_1_1_qp_config" id="r_ae90c5c93fc02fad6fc07ca6b04fc78cc"><td class="memItemLeft" align="right" valign="top">bool &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#ae90c5c93fc02fad6fc07ca6b04fc78cc">precomputeKernel</a> ()</td></tr>
<tr class="memdesc:ae90c5c93fc02fad6fc07ca6b04fc78cc inherit pub_methods_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">Flag for using a precomputed kernel matrix.  <br /></td></tr>
<tr class="separator:ae90c5c93fc02fad6fc07ca6b04fc78cc inherit pub_methods_classshark_1_1_qp_config"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0de2262f5cfb80a3b42706a5121a53e5 inherit pub_methods_classshark_1_1_qp_config" id="r_a0de2262f5cfb80a3b42706a5121a53e5"><td class="memItemLeft" align="right" valign="top">bool const &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a0de2262f5cfb80a3b42706a5121a53e5">precomputeKernel</a> () const</td></tr>
<tr class="memdesc:a0de2262f5cfb80a3b42706a5121a53e5 inherit pub_methods_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">Flag for using a precomputed kernel matrix.  <br /></td></tr>
<tr class="separator:a0de2262f5cfb80a3b42706a5121a53e5 inherit pub_methods_classshark_1_1_qp_config"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a32477b55142b80bd9f82f2a2e201f5b9 inherit pub_methods_classshark_1_1_qp_config" id="r_a32477b55142b80bd9f82f2a2e201f5b9"><td class="memItemLeft" align="right" valign="top">bool &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a32477b55142b80bd9f82f2a2e201f5b9">sparsify</a> ()</td></tr>
<tr class="memdesc:a32477b55142b80bd9f82f2a2e201f5b9 inherit pub_methods_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">Flag for sparsifying the model after training.  <br /></td></tr>
<tr class="separator:a32477b55142b80bd9f82f2a2e201f5b9 inherit pub_methods_classshark_1_1_qp_config"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7af8db760393211a1c1416d3b1f53611 inherit pub_methods_classshark_1_1_qp_config" id="r_a7af8db760393211a1c1416d3b1f53611"><td class="memItemLeft" align="right" valign="top">bool const &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a7af8db760393211a1c1416d3b1f53611">sparsify</a> () const</td></tr>
<tr class="memdesc:a7af8db760393211a1c1416d3b1f53611 inherit pub_methods_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">Flag for sparsifying the model after training.  <br /></td></tr>
<tr class="separator:a7af8db760393211a1c1416d3b1f53611 inherit pub_methods_classshark_1_1_qp_config"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab538a92231c05e20575f181b06c5689d inherit pub_methods_classshark_1_1_qp_config" id="r_ab538a92231c05e20575f181b06c5689d"><td class="memItemLeft" align="right" valign="top">bool &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#ab538a92231c05e20575f181b06c5689d">shrinking</a> ()</td></tr>
<tr class="memdesc:ab538a92231c05e20575f181b06c5689d inherit pub_methods_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">Flag for shrinking in the decomposition solver.  <br /></td></tr>
<tr class="separator:ab538a92231c05e20575f181b06c5689d inherit pub_methods_classshark_1_1_qp_config"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac60da7ecd51c8eceea655cc60492e4a7 inherit pub_methods_classshark_1_1_qp_config" id="r_ac60da7ecd51c8eceea655cc60492e4a7"><td class="memItemLeft" align="right" valign="top">bool const &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#ac60da7ecd51c8eceea655cc60492e4a7">shrinking</a> () const</td></tr>
<tr class="memdesc:ac60da7ecd51c8eceea655cc60492e4a7 inherit pub_methods_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">Flag for shrinking in the decomposition solver.  <br /></td></tr>
<tr class="separator:ac60da7ecd51c8eceea655cc60492e4a7 inherit pub_methods_classshark_1_1_qp_config"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5a4d6d3ff5c8acbd809108786e973f7a inherit pub_methods_classshark_1_1_qp_config" id="r_a5a4d6d3ff5c8acbd809108786e973f7a"><td class="memItemLeft" align="right" valign="top">bool &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a5a4d6d3ff5c8acbd809108786e973f7a">s2do</a> ()</td></tr>
<tr class="memdesc:a5a4d6d3ff5c8acbd809108786e973f7a inherit pub_methods_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">Flag for S2DO (instead of SMO)  <br /></td></tr>
<tr class="separator:a5a4d6d3ff5c8acbd809108786e973f7a inherit pub_methods_classshark_1_1_qp_config"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7f20cd2196e1fc785a18cb155eb5ec68 inherit pub_methods_classshark_1_1_qp_config" id="r_a7f20cd2196e1fc785a18cb155eb5ec68"><td class="memItemLeft" align="right" valign="top">bool const &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a7f20cd2196e1fc785a18cb155eb5ec68">s2do</a> () const</td></tr>
<tr class="memdesc:a7f20cd2196e1fc785a18cb155eb5ec68 inherit pub_methods_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">Flag for S2DO (instead of SMO)  <br /></td></tr>
<tr class="separator:a7f20cd2196e1fc785a18cb155eb5ec68 inherit pub_methods_classshark_1_1_qp_config"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a71328214090e442c9fee46103868b0ca inherit pub_methods_classshark_1_1_qp_config" id="r_a71328214090e442c9fee46103868b0ca"><td class="memItemLeft" align="right" valign="top">unsigned int &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a71328214090e442c9fee46103868b0ca">verbosity</a> ()</td></tr>
<tr class="memdesc:a71328214090e442c9fee46103868b0ca inherit pub_methods_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">Verbosity level of the solver.  <br /></td></tr>
<tr class="separator:a71328214090e442c9fee46103868b0ca inherit pub_methods_classshark_1_1_qp_config"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a60f71b218d096838f527c6eb62a75501 inherit pub_methods_classshark_1_1_qp_config" id="r_a60f71b218d096838f527c6eb62a75501"><td class="memItemLeft" align="right" valign="top">unsigned int const &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a60f71b218d096838f527c6eb62a75501">verbosity</a> () const</td></tr>
<tr class="memdesc:a60f71b218d096838f527c6eb62a75501 inherit pub_methods_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">Verbosity level of the solver.  <br /></td></tr>
<tr class="separator:a60f71b218d096838f527c6eb62a75501 inherit pub_methods_classshark_1_1_qp_config"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a240e6aeb51dee3764a4ee3962e0ff7e0 inherit pub_methods_classshark_1_1_qp_config" id="r_a240e6aeb51dee3764a4ee3962e0ff7e0"><td class="memItemLeft" align="right" valign="top">unsigned long long const &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a240e6aeb51dee3764a4ee3962e0ff7e0">accessCount</a> () const</td></tr>
<tr class="memdesc:a240e6aeb51dee3764a4ee3962e0ff7e0 inherit pub_methods_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">Number of kernel accesses.  <br /></td></tr>
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<tr class="memitem:a435ff9b5dd3337872c2e49d46c95c417 inherit pub_methods_classshark_1_1_qp_config" id="r_a435ff9b5dd3337872c2e49d46c95c417"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a435ff9b5dd3337872c2e49d46c95c417">setMinAccuracy</a> (double a)</td></tr>
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<tr class="inherit_header pub_methods_classshark_1_1_i_parameterizable"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classshark_1_1_i_parameterizable')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classshark_1_1_i_parameterizable.html">shark::IParameterizable&lt; VectorType &gt;</a></td></tr>
<tr class="memitem:a9e3a11172e74d1aa7292f3de4e2b6ebc inherit pub_methods_classshark_1_1_i_parameterizable" id="r_a9e3a11172e74d1aa7292f3de4e2b6ebc"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_parameterizable.html#a9e3a11172e74d1aa7292f3de4e2b6ebc">~IParameterizable</a> ()</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-attribs" name="pro-attribs"></a>
Protected Attributes</h2></td></tr>
<tr class="memitem:aec319e3ac1af74e75d5414624412dac3" id="r_aec319e3ac1af74e75d5414624412dac3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#acb7bddb6bc49cb6162708ad18d5f2ea3">KernelType</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">m_kernel</a></td></tr>
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<tr class="memitem:aa5c86718ae82edb7660fe5769ebc5b0f" id="r_aa5c86718ae82edb7660fe5769ebc5b0f"><td class="memItemLeft" align="right" valign="top">RealVector&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f">m_regularizers</a></td></tr>
<tr class="memdesc:aa5c86718ae82edb7660fe5769ebc5b0f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Vector of regularization parameters.  <br /></td></tr>
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<tr class="memdesc:aa3e2f2db97947d244213f63093a08878"><td class="mdescLeft">&#160;</td><td class="mdescRight">Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C &gt; 0 on the level of the parameter interface.  <br /></td></tr>
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<tr class="memitem:a0382adafdbe762f4456dc7858ea120c2" id="r_a0382adafdbe762f4456dc7858ea120c2"><td class="memItemLeft" align="right" valign="top">std::size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#a0382adafdbe762f4456dc7858ea120c2">m_cacheSize</a></td></tr>
<tr class="memdesc:a0382adafdbe762f4456dc7858ea120c2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Number of values in the kernel cache. The size of the cache in bytes is the size of one entry (4 for float, 8 for double) times this number.  <br /></td></tr>
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<tr class="inherit_header pro_attribs_classshark_1_1_qp_config"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_classshark_1_1_qp_config')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classshark_1_1_qp_config.html">shark::QpConfig</a></td></tr>
<tr class="memitem:a5032921be220d76232e7db3db3ef5225 inherit pro_attribs_classshark_1_1_qp_config" id="r_a5032921be220d76232e7db3db3ef5225"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structshark_1_1_qp_stopping_condition.html">QpStoppingCondition</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a5032921be220d76232e7db3db3ef5225">m_stoppingcondition</a></td></tr>
<tr class="memdesc:a5032921be220d76232e7db3db3ef5225 inherit pro_attribs_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">conditions for when to stop the QP solver  <br /></td></tr>
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<tr class="memitem:a994efb841504c52e509d0bac04f41fb2 inherit pro_attribs_classshark_1_1_qp_config" id="r_a994efb841504c52e509d0bac04f41fb2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structshark_1_1_qp_solution_properties.html">QpSolutionProperties</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a994efb841504c52e509d0bac04f41fb2">m_solutionproperties</a></td></tr>
<tr class="memdesc:a994efb841504c52e509d0bac04f41fb2 inherit pro_attribs_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">properties of the approximate solution found by the solver  <br /></td></tr>
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<tr class="memitem:a5d65189eed8ced4b3cadb2392cf2b46c inherit pro_attribs_classshark_1_1_qp_config" id="r_a5d65189eed8ced4b3cadb2392cf2b46c"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a5d65189eed8ced4b3cadb2392cf2b46c">m_precomputedKernelMatrix</a></td></tr>
<tr class="memdesc:a5d65189eed8ced4b3cadb2392cf2b46c inherit pro_attribs_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">should the solver use a precomputed kernel matrix?  <br /></td></tr>
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<tr class="memitem:a3288e99aefde9b1d7e30992d5feb582e inherit pro_attribs_classshark_1_1_qp_config" id="r_a3288e99aefde9b1d7e30992d5feb582e"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a3288e99aefde9b1d7e30992d5feb582e">m_sparsify</a></td></tr>
<tr class="memdesc:a3288e99aefde9b1d7e30992d5feb582e inherit pro_attribs_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">should the trainer sparsify the model after training?  <br /></td></tr>
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<tr class="memitem:ac7bd118550c2bfa50f9497182b4b086d inherit pro_attribs_classshark_1_1_qp_config" id="r_ac7bd118550c2bfa50f9497182b4b086d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#ac7bd118550c2bfa50f9497182b4b086d">m_shrinking</a></td></tr>
<tr class="memdesc:ac7bd118550c2bfa50f9497182b4b086d inherit pro_attribs_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">should shrinking be used?  <br /></td></tr>
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<tr class="memitem:a82049a531c2f9621c737c8fe51d53739 inherit pro_attribs_classshark_1_1_qp_config" id="r_a82049a531c2f9621c737c8fe51d53739"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a82049a531c2f9621c737c8fe51d53739">m_s2do</a></td></tr>
<tr class="memdesc:a82049a531c2f9621c737c8fe51d53739 inherit pro_attribs_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">should S2DO be used instead of SMO?  <br /></td></tr>
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<tr class="memitem:ad6f54a3b58cd6a2e1774d5decf8fcc79 inherit pro_attribs_classshark_1_1_qp_config" id="r_ad6f54a3b58cd6a2e1774d5decf8fcc79"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#ad6f54a3b58cd6a2e1774d5decf8fcc79">m_verbosity</a></td></tr>
<tr class="memdesc:ad6f54a3b58cd6a2e1774d5decf8fcc79 inherit pro_attribs_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">verbosity level (currently unused)  <br /></td></tr>
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<tr class="memitem:a073a19a266651c9a689f433b93ea4e3f inherit pro_attribs_classshark_1_1_qp_config" id="r_a073a19a266651c9a689f433b93ea4e3f"><td class="memItemLeft" align="right" valign="top">unsigned long long&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_qp_config.html#a073a19a266651c9a689f433b93ea4e3f">m_accessCount</a></td></tr>
<tr class="memdesc:a073a19a266651c9a689f433b93ea4e3f inherit pro_attribs_classshark_1_1_qp_config"><td class="mdescLeft">&#160;</td><td class="mdescRight">kernel access count  <br /></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><div class="compoundTemplParams">template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>, class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a>, class Model = KernelClassifier&lt;InputType&gt;, class Trainer = AbstractTrainer&lt; Model,LabelType&gt;&gt;<br />
class shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;</div><p>Super class of all kernelized (non-linear) SVM trainers. </p>
<dl class="section user"><dt></dt><dd>This class holds general information shared by most if not all SVM trainers. First of all, this includes the kernel and the regularization parameter. The class also manages meta-information of the training process, like the maximal size of the kernel cache, the stopping criterion, as well as information on the actual solution. </dd></dl>

<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00185">185</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>
</div><h2 class="groupheader">Member Typedef Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#acb7bddb6bc49cb6162708ad18d5f2ea3">&#9670;&#160;</a></span>KernelType</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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          <td class="memname">typedef <a class="el" href="classshark_1_1_abstract_kernel_function.html">AbstractKernelFunction</a>&lt;<a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>&gt; <a class="el" href="classshark_1_1_abstract_svm_trainer.html">shark::AbstractSvmTrainer</a>&lt; <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>, <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a>, Model, Trainer &gt;::KernelType</td>
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<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00189">189</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

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<h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#aab27c6424184668af4f785f525ca3a84">&#9670;&#160;</a></span>AbstractSvmTrainer() <span class="overload">[1/2]</span></h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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          <td class="memname"><a class="el" href="classshark_1_1_abstract_svm_trainer.html">shark::AbstractSvmTrainer</a>&lt; <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>, <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a>, Model, Trainer &gt;::AbstractSvmTrainer </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#acb7bddb6bc49cb6162708ad18d5f2ea3">KernelType</a> *&#160;</td>
          <td class="paramname"><em>kernel</em>, </td>
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          <td class="paramtype">double&#160;</td>
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          <td class="paramname"><em>offset</em>, </td>
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          <td class="paramtype">bool&#160;</td>
          <td class="paramname"><em>unconstrained</em> = <code>false</code>&#160;</td>
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          <td>)</td>
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<p>Constructor </p><dl class="params"><dt>Parameters</dt><dd>
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    <tr><td class="paramname">kernel</td><td>kernel function to use for training and prediction </td></tr>
    <tr><td class="paramname">C</td><td>regularization parameter - always the 'true' value of C, even when unconstrained is set </td></tr>
    <tr><td class="paramname">offset</td><td>train svm with offset - this is not supported for all SVM solvers. </td></tr>
    <tr><td class="paramname">unconstrained</td><td>when a C-value is given via setParameter, should it be piped through the exp-function before using it in the solver? </td></tr>
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<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00196">196</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a7bc3baa63458c785155a231ca73ea483">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::C()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::kernel()</a>, and <a class="el" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>.</p>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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          <td class="memname"><a class="el" href="classshark_1_1_abstract_svm_trainer.html">shark::AbstractSvmTrainer</a>&lt; <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>, <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a>, Model, Trainer &gt;::AbstractSvmTrainer </td>
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          <td class="paramtype"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#acb7bddb6bc49cb6162708ad18d5f2ea3">KernelType</a> *&#160;</td>
          <td class="paramname"><em>kernel</em>, </td>
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<p>Constructor featuring two regularization parameters </p><dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">kernel</td><td>kernel function to use for training and prediction </td></tr>
    <tr><td class="paramname">negativeC</td><td>regularization parameter of the negative class (label 0) </td></tr>
    <tr><td class="paramname">positiveC</td><td>regularization parameter of the positive class (label 1) </td></tr>
    <tr><td class="paramname">offset</td><td>train svm with offset - this is not supported for all SVM solvers. </td></tr>
    <tr><td class="paramname">unconstrained</td><td>when a C-value is given via setParameter, should it be piped through the exp-function before using it in the solver? </td></tr>
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<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00213">213</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::kernel()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_regularizers</a>, and <a class="el" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a7bc3baa63458c785155a231ca73ea483">&#9670;&#160;</a></span>C()</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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          <td class="memname">double <a class="el" href="classshark_1_1_abstract_svm_trainer.html">shark::AbstractSvmTrainer</a>&lt; <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>, <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a>, Model, Trainer &gt;::C </td>
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<p>Return the value of the regularization parameter C. </p>

<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00229">229</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_regularizers</a>, and <a class="el" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aab27c6424184668af4f785f525ca3a84">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::AbstractSvmTrainer()</a>, <a class="el" href="_c_svm_grid_search_tutorial_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>, <a class="el" href="_c_svm_max_likelihood_m_s_8cpp.html#a28267e6f7ec1120183ffd7ae7a9a60d2">run_one_trial()</a>, and <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a63d60b7731298e655952bbf42d1ce2d8">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::setC()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a954cc587b52b4ec5a347134804dfc812">&#9670;&#160;</a></span>cacheSize()</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00266">266</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a0382adafdbe762f4456dc7858ea120c2">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_cacheSize</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a787df0ebf0c01da4f3e900e0f3ad109a">&#9670;&#160;</a></span>isUnconstrained()</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00260">260</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aa3e2f2db97947d244213f63093a08878">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_unconstrained</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a084595212c691b938fe6d421f40a908b">&#9670;&#160;</a></span>kernel() <span class="overload">[1/2]</span></h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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          <td class="memname"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#acb7bddb6bc49cb6162708ad18d5f2ea3">KernelType</a> * <a class="el" href="classshark_1_1_abstract_svm_trainer.html">shark::AbstractSvmTrainer</a>&lt; <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>, <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a>, Model, Trainer &gt;::kernel </td>
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<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00251">251</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_kernel</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aab27c6424184668af4f785f525ca3a84">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::AbstractSvmTrainer()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a5ac083639404d8d334e38d45f777e0af">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::AbstractSvmTrainer()</a>, <a class="el" href="classshark_1_1_c_svm_derivative.html#a7ee628c62b706b9b7439840ae5a9546d">shark::CSvmDerivative&lt; InputType, CacheType &gt;::CSvmDerivative()</a>, and <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a4ff39ade04048830ec052be74d185a39">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::setKernel()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a6342c2fd51de7927c41090c8644c29f8">&#9670;&#160;</a></span>kernel() <span class="overload">[2/2]</span></h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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          <td class="memname"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#acb7bddb6bc49cb6162708ad18d5f2ea3">KernelType</a> const  * <a class="el" href="classshark_1_1_abstract_svm_trainer.html">shark::AbstractSvmTrainer</a>&lt; <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>, <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a>, Model, Trainer &gt;::kernel </td>
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<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00253">253</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_kernel</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#ab4f0632a6c463dca0103a38a6305c38c">&#9670;&#160;</a></span>numberOfParameters()</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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          <td class="memname">size_t <a class="el" href="classshark_1_1_abstract_svm_trainer.html">shark::AbstractSvmTrainer</a>&lt; <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>, <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a>, Model, Trainer &gt;::numberOfParameters </td>
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<p>return the number of hyper-parameters </p>

<p>Reimplemented from <a class="el" href="classshark_1_1_i_parameterizable.html#aed1e8d1d4dbde387e2f6a25141ed3a20">shark::IParameterizable&lt; VectorType &gt;</a>.</p>

<p>Reimplemented in <a class="el" href="classshark_1_1_epsilon_svm_trainer.html#a20a2c523e7723a2b63cc9b459a865603">shark::EpsilonSvmTrainer&lt; InputType, CacheType &gt;</a>.</p>

<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00290">290</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_kernel</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_regularizers</a>, and <a class="el" href="classshark_1_1_i_parameterizable.html#aed1e8d1d4dbde387e2f6a25141ed3a20">shark::IParameterizable&lt; VectorType &gt;::numberOfParameters()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a183757faebfc331f6733946a6ea7de2c">&#9670;&#160;</a></span>parameterVector()</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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<p>get the hyper-parameter vector </p>

<p>Reimplemented from <a class="el" href="classshark_1_1_i_parameterizable.html#afaa2ba692ab64a0edbff60d7ee6794db">shark::IParameterizable&lt; VectorType &gt;</a>.</p>

<p>Reimplemented in <a class="el" href="classshark_1_1_epsilon_svm_trainer.html#a631651231f0bfbe6d61c26117cdb4c6b">shark::EpsilonSvmTrainer&lt; InputType, CacheType &gt;</a>.</p>

<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00272">272</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_kernel</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_regularizers</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aa3e2f2db97947d244213f63093a08878">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_unconstrained</a>, and <a class="el" href="classshark_1_1_i_parameterizable.html#afaa2ba692ab64a0edbff60d7ee6794db">shark::IParameterizable&lt; VectorType &gt;::parameterVector()</a>.</p>

<p class="reference">Referenced by <a class="el" href="_c_svm_max_likelihood_m_s_8cpp.html#a28267e6f7ec1120183ffd7ae7a9a60d2">run_one_trial()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#ad06550eb45e46ff02e4789ea1b916c75">&#9670;&#160;</a></span>regularizationParameters()</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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          <td class="memname">RealVector const  &amp; <a class="el" href="classshark_1_1_abstract_svm_trainer.html">shark::AbstractSvmTrainer</a>&lt; <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>, <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a>, Model, Trainer &gt;::regularizationParameters </td>
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<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00240">240</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_regularizers</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a63d60b7731298e655952bbf42d1ce2d8">&#9670;&#160;</a></span>setC()</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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          <td class="memname">void <a class="el" href="classshark_1_1_abstract_svm_trainer.html">shark::AbstractSvmTrainer</a>&lt; <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>, <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a>, Model, Trainer &gt;::setC </td>
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<p>Set the value of the regularization parameter C. </p>

<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00235">235</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a7bc3baa63458c785155a231ca73ea483">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::C()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_regularizers</a>, and <a class="el" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#aee037566828dae85ee2e117e71121edd">&#9670;&#160;</a></span>setCacheSize()</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00268">268</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a0382adafdbe762f4456dc7858ea120c2">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_cacheSize</a>.</p>

<p class="reference">Referenced by <a class="el" href="_c_svm_tutorial_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627">main()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a4ff39ade04048830ec052be74d185a39">&#9670;&#160;</a></span>setKernel()</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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          <td>(</td>
          <td class="paramtype"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#acb7bddb6bc49cb6162708ad18d5f2ea3">KernelType</a> *&#160;</td>
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<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00255">255</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::kernel()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_kernel</a>, and <a class="el" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#aecde2bab6daf3fa44b94438c7ba79a24">&#9670;&#160;</a></span>setParameterVector()</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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<p>set the vector of hyper-parameters </p>

<p>Reimplemented from <a class="el" href="classshark_1_1_i_parameterizable.html#ad5e35d1a10ff36fa72ea787baa40e9ad">shark::IParameterizable&lt; VectorType &gt;</a>.</p>

<p>Reimplemented in <a class="el" href="classshark_1_1_epsilon_svm_trainer.html#a62ea3ab316e7985eb111d9b4b3172d64">shark::EpsilonSvmTrainer&lt; InputType, CacheType &gt;</a>.</p>

<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00280">280</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_kernel</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_regularizers</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aa3e2f2db97947d244213f63093a08878">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_unconstrained</a>, <a class="el" href="classshark_1_1_i_parameterizable.html#aed1e8d1d4dbde387e2f6a25141ed3a20">shark::IParameterizable&lt; VectorType &gt;::numberOfParameters()</a>, <a class="el" href="classshark_1_1_i_parameterizable.html#ad5e35d1a10ff36fa72ea787baa40e9ad">shark::IParameterizable&lt; VectorType &gt;::setParameterVector()</a>, and <a class="el" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>.</p>

<p class="reference">Referenced by <a class="el" href="_c_svm_grid_search_tutorial_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>, and <a class="el" href="_c_svm_max_likelihood_m_s_8cpp.html#a28267e6f7ec1120183ffd7ae7a9a60d2">run_one_trial()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#ad3ff1a54a5eb915e631e70e26e8727ce">&#9670;&#160;</a></span>setRegularizationParameters()</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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<p>Set the value of the regularization parameter C. </p>

<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00246">246</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_regularizers</a>, and <a class="el" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#ae0c02e31cdae3482f37155eb788eb979">&#9670;&#160;</a></span>trainOffset()</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00263">263</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aee47ba0de2c00b34c32e78ec9751c121">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::m_trainOffset</a>.</p>

<p class="reference">Referenced by <a class="el" href="_mc_svm_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>

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<h2 class="groupheader">Member Data Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a0382adafdbe762f4456dc7858ea120c2">&#9670;&#160;</a></span>m_cacheSize</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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<p>Number of values in the kernel cache. The size of the cache in bytes is the size of one entry (4 for float, 8 for double) times this number. </p>

<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00305">305</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a954cc587b52b4ec5a347134804dfc812">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::cacheSize()</a>, and <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aee037566828dae85ee2e117e71121edd">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::setCacheSize()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#aec319e3ac1af74e75d5414624412dac3">&#9670;&#160;</a></span>m_kernel</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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          <td class="memname"><a class="el" href="classshark_1_1_abstract_svm_trainer.html#acb7bddb6bc49cb6162708ad18d5f2ea3">KernelType</a>* <a class="el" href="classshark_1_1_abstract_svm_trainer.html">shark::AbstractSvmTrainer</a>&lt; <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>, <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a>, Model, Trainer &gt;::m_kernel</td>
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<p>Kernel object. </p>

<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00295">295</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::kernel()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a6342c2fd51de7927c41090c8644c29f8">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::kernel()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#ab4f0632a6c463dca0103a38a6305c38c">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::numberOfParameters()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a183757faebfc331f6733946a6ea7de2c">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::parameterVector()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a4ff39ade04048830ec052be74d185a39">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::setKernel()</a>, and <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aecde2bab6daf3fa44b94438c7ba79a24">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::setParameterVector()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#aa5c86718ae82edb7660fe5769ebc5b0f">&#9670;&#160;</a></span>m_regularizers</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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          <td class="memname">RealVector <a class="el" href="classshark_1_1_abstract_svm_trainer.html">shark::AbstractSvmTrainer</a>&lt; <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>, <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a>, Model, Trainer &gt;::m_regularizers</td>
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<p>Vector of regularization parameters. </p>
<p>If the size of the vector is 1 there is only one regularization parameter for all classes, else there must be one for every class in the dataset. The exact meaning depends on the sub-class, but the value is always positive, and higher implies a less regular solution. </p>

<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00302">302</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a5ac083639404d8d334e38d45f777e0af">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::AbstractSvmTrainer()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a7bc3baa63458c785155a231ca73ea483">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::C()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#ab4f0632a6c463dca0103a38a6305c38c">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::numberOfParameters()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a183757faebfc331f6733946a6ea7de2c">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::parameterVector()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#ad06550eb45e46ff02e4789ea1b916c75">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::regularizationParameters()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a63d60b7731298e655952bbf42d1ce2d8">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::setC()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aecde2bab6daf3fa44b94438c7ba79a24">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::setParameterVector()</a>, and <a class="el" href="classshark_1_1_abstract_svm_trainer.html#ad3ff1a54a5eb915e631e70e26e8727ce">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::setRegularizationParameters()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#aee47ba0de2c00b34c32e78ec9751c121">&#9670;&#160;</a></span>m_trainOffset</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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          <td class="memname">bool <a class="el" href="classshark_1_1_abstract_svm_trainer.html">shark::AbstractSvmTrainer</a>&lt; <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>, <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a>, Model, Trainer &gt;::m_trainOffset</td>
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<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00303">303</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_abstract_svm_trainer.html#ae0c02e31cdae3482f37155eb788eb979">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::trainOffset()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#aa3e2f2db97947d244213f63093a08878">&#9670;&#160;</a></span>m_unconstrained</h2>

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template&lt;class <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a> , class <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a> , class Model  = KernelClassifier&lt;InputType&gt;, class Trainer  = AbstractTrainer&lt; Model,LabelType&gt;&gt; </div>
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          <td class="memname">bool <a class="el" href="classshark_1_1_abstract_svm_trainer.html">shark::AbstractSvmTrainer</a>&lt; <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">InputType</a>, <a class="el" href="classshark_1_1_abstract_trainer.html#aa4e344106831fb8227c2120681588ea9">LabelType</a>, Model, Trainer &gt;::m_unconstrained</td>
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<p>Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C &gt; 0 on the level of the parameter interface. </p>

<p class="definition">Definition at line <a class="el" href="_abstract_svm_trainer_8h_source.html#l00304">304</a> of file <a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a787df0ebf0c01da4f3e900e0f3ad109a">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::isUnconstrained()</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#a183757faebfc331f6733946a6ea7de2c">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::parameterVector()</a>, and <a class="el" href="classshark_1_1_abstract_svm_trainer.html#aecde2bab6daf3fa44b94438c7ba79a24">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;::setParameterVector()</a>.</p>

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<hr/>The documentation for this class was generated from the following file:<ul>
<li>include/shark/Algorithms/Trainers/<a class="el" href="_abstract_svm_trainer_8h_source.html">AbstractSvmTrainer.h</a></li>
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